An Introduction to Redis-ML (Part Two)
Aug 10, 2017 by Tague Griffith This post is part two of a series of posts introducing the Redis-ML module. In the previous post of the series, we used the Python scikit-learn package and...
Category: Big Data, Analytical Data Platforms, AI and Data Science
An Introduction to Redis-ML (Part Three)
Aug 18, 2017 by Tague Griffith This post is part three of a series of posts introducing the Redis-ML module. The first article in the series can be found here. The sample code for...
An Introduction to Redis-ML. Part One
Jul 24, 2017 by Tague Griffith Despite widespread interest in machine learning (ML), using it effectively in a real-time environment is a complex problem that hasn’t been given enough attention by framework developers. Nearly every...
Real-Time Machine Learning with TensorFlow, Kafka and MemSQL
In September, MemSQL presented on how to do real-time machine learning in under three minutes. Using data from a dating website, the demo shows how the latest features in MemSQL 6 make it easy...
Running Stored Procedures on Distributed Systems with MemSQL 6
A major addition to MemSQL 6, Extensibility gives customers the ability to write custom database logic to manipulate and processdata. MemSQL 6 also gives customers flexibility to process data required for machine learning applications...
MemSQL 6 Product Pillars and Machine Learning Approach
In October, MemSQL announced the general availability of MemSQL 6. Added functionality includes new extensibility features, increased query performance, and enhanced online operations. MemSQL 6 closes the gap between machine learning and operational applications...
DLTK: A medical imagining deep learning library built on TensorFlow.
Comes with prebuilt models for Fetal Brain Segmentation from MRI, and segmentation on cardiovascular magnetic resonance images. GitHub: https://github.com/DLTK/models Referencing and citing methods in the Model Zoo To find out how to reference each implementation,...
Replatforming Custom Business Intelligence | Use Case
FORTUNE 100 Retailer Executive Summary A Fortune 100 Retailer was looking to move their sizable custom business intelligence application with close to 40 million application queries executed per week to cloud-native Microsoft Azure SQL...
Disaster Recovery Cloud Data Warehouse | Use Case
FORTUNE 100 Healthcare Provider Executive Summary A U.S. Fortune 500 Healthcare Provider realized an urgent necessity for a Disaster Recovery (DR) system for its enterprise data warehouses. They wanted the destination to be in...
Scaling Business Intelligence in the Cloud | Use Case
FORTUNE 100 Financial Institution Executive Summary A Fortune 100 Global Financial Institution needed to scale their business intelligence application, which was built using 2000-plus Teradata Stored Procedures. After multiple failed attempts, the customer’s own...